Numerical Linear Algebra / Springer Undergraduate Mathematics Series (PDF)
This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics....
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This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics. The book highlights the usefulness of matrix partitioning compared to a component view, leading not only to a clearer notation and shorter algorithms, but also to significant runtime gains in modern computer architectures. The algorithms and accompanying numerical examples are given in the programming environment MATLAB, and additionally - in an appendix - in the future-oriented, freely accessible programming language Julia. This book is suitable for a two-hour lecture on numerical linear algebra from the second semester of a bachelor's degree in mathematics.
- Autor: Folkmar Bornemann
- 2018, 1st ed. 2018, 153 Seiten, Englisch
- Übersetzer: Walter Simson
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319742221
- ISBN-13: 9783319742229
- Erscheinungsdatum: 29.01.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 3.12 MB
- Ohne Kopierschutz
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